Title :
Economic forecasting research based on artificial neural network technology
Author :
Fang-yuan, Lu ; Feng-you, Gao
Author_Institution :
Bus. Sch., Zhengzhou Univ., Zhengzhou
Abstract :
Some essential parameter choices which key to the neural network performance have been researched, such as the network architecture, the initial weight value, the learning rate, the training algorithm With an example; it explains how the forecast has been carried on using the neural network technology. The result indicates that, the neural network technology applied in the economic forecasting, can overcome the shortcoming of traditional statistical analysis forecast model, and may achieve higher forecast precision.
Keywords :
economic forecasting; neural nets; artificial neural network technology; economic forecasting research; network architecture; statistical analysis forecast model; Artificial neural networks; Economic forecasting; Algorithm; Artificial Neural Networks; Economic Forecasting;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597495